Yujia Bao
12 papers · 2018–2026 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (32)
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Research topics
Artificial Intelligence
(8)
Machine Learning
(8)
Application Areas
(8)
Natural Language Processing
(6)
Core AI
(5)
Learning Types
(4)
Applications
(3)
Learning Paradigms
(3)
Deep Learning
(2)
Core Methods
(2)
Generation
(2)
Resources & Methods
(2)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Analysis
(1)
Keywords
large language model
(5)
knowledge distillation
(2)
semantic embedding
(2)
document retrieval
(2)
domain generalization
(2)
transfer learning
(2)
domain adaptation
(2)
information retrieval
(2)
machine unlearning
(1)
vision transformer
(1)
data augmentation
(1)
few-shot learning
(1)
logical reasoning
(1)
instruction tuning
(1)
distributionally robust optimization
(1)
text retrieval
(1)
multi-armed bandit
(1)
upper confidence bound
(1)
feature learning
(1)
image classification
(1)
Papers
Adaptive Data Augmentation with Multi-armed Bandit: Sample-Efficient Embedding Calibration for Implicit Pattern Recognition
CVPR 2026
Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop
ACL 2026
Enhancing Retrieval for ESGLLM via ESG-CID: A Disclosure Content Index Finetuning Dataset for Mapping GRI and ESRS
ACL 2025
Enhancing Retrieval Systems with Inference-Time Logical Reasoning
ACL 2025
From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs
ICLR 2025
Improving Data Efficiency via Curating LLM-Driven Rating Systems
ICLR 2025
LLM Unlearning via Loss Adjustment with Only Forget Data
ICLR 2025
Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words
ICLR 2024
Learning Stable Classifiers by Transferring Unstable Features
ICML 2022
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
ICML 2021
Few-shot Text Classification with Distributional Signatures
ICLR 2020
Deriving Machine Attention from Human Rationales
EMNLP 2018